{
    "type": "article",
    "title": "Writing Content AI Can Read and People Can Use",
    "slug": "writing-content-machines-can-read",
    "canonical_url": "/article/writing-content-machines-can-read/",
    "status": "published",
    "excerpt": "Give readers a clear answer they can act on, then make the page's details agree with it. Follow one example from plain words to the published page.",
    "body": "<p>A useful page answers a real question before it describes its own technology.</p>\n<p>That is where machine-readable content for AI starts, too: a clear subject, a specific answer and enough context to understand what the answer means.</p>\n<p>Here is a practical example from this library. Start with the opening, then follow the same answer through the content record and the published page.</p>\n<h2>A clear answer beats a polished fog</h2>\n<p>Imagine the <a href=\"/article/structured-data-audit/\">structured data audit guide</a> opening with this:</p>\n<blockquote><p>Our integrated approach connects semantic signals for a more intelligent digital presence.</p></blockquote>\n<p>It sounds finished. It has not told you what to do.</p>\n<p>A useful version is: <strong>A structured data audit checks whether the information in your page's markup matches what readers see. Start with one article and compare its title, author and address.</strong></p>\n<p>Now the reader knows what the check does and where to begin. Each detail has something concrete to attach to.</p>\n<h2>Carry the same answer through the content record</h2>\n<p>Krisada SEO keeps article copy in JSON files. The template reads that record to build the page. The source for this article is <a href=\"/content/articles/writing-content-machines-can-read.json\">publicly available</a>, so you can compare the record with the result.</p>\n<p>These are the fields worth following:</p>\n<ol>\n<li><strong>Title:</strong> names the question or useful result. It should agree with the heading a visitor reads.</li>\n<li><strong>Excerpt:</strong> gives the answer or benefit in plain words. It should still make sense away from the rest of the article.</li>\n<li><strong>Body:</strong> supplies the example and the evidence. Useful headings name the subjects inside their sections.</li>\n<li><strong>Canonical URL:</strong> identifies the page's preferred address. Internal links and page markup should point to that same page.</li>\n</ol>\n<p>Clear fields help prevent drift. They do not prevent every mistake. A template can still omit a field or print an old value, which is why the published page needs its own check.</p>\n<h2>Structured data describes the page you actually published</h2>\n<p><a href=\"/glossary/ai-digital-karma/json-ld/\">JSON-LD</a> is a way to publish structured descriptions inside an HTML page. An article can identify its headline and author, then connect to the website it belongs to.</p>\n<p>The visible answer and that description should agree. If the page names one author and the markup names another, adding more markup only gives the disagreement more places to live.</p>\n<p>Keep the original publication date when revising an article. Use the modification date to show the update. Preserve a working address unless there is a real reason to move it.</p>\n<h2>Separate Digital Karma's catalog from Google's requirements</h2>\n<p>This site also publishes a <a href=\"/ai/catalog.json\">Digital Karma content catalog</a>. It gives other systems an organized description of the collections available here. That is part of how this portfolio makes its work inspectable.</p>\n<p>It is not a special admission ticket to Google's AI features. <a href=\"https://developers.google.com/search/docs/appearance/ai-features\">Google's guidance</a> says no additional AI text files or special schema are required for AI Overviews or AI Mode.</p>\n<p>A crawler requesting the catalog shows that it requested the catalog. It does not tell us whether an answer cited the article or a person found it useful. Those are different results to measure.</p>\n<h2>Test one article before repeating the pattern</h2>\n<p>Take a page you already have. Read its opening without the logo or navigation. Can you say what the reader gets and what they can do next?</p>\n<p>Then compare its source record with the published heading and structured data. The <a href=\"/article/structured-data-audit/\">worked structured data audit</a> shows how to make that comparison.</p>\n<p>If the problem is bigger than one article, the <a href=\"/library/content-systems/\">Content Systems guide</a> helps you choose whether to fix the writing workflow, the content fields or the templates.</p>",
    "publish_date": "2026-04-18",
    "updated_at": "2026-10-05",
    "author": "Atlas",
    "category_primary": "ai-website-systems/machine-readable-content",
    "category_secondary": [
        "ai-website-systems",
        "visibility-search"
    ],
    "tags": [
        "AI machine-readable",
        "structured-data",
        "json-ld",
        "schema",
        "content-clarity"
    ],
    "template": "article",
    "sidebar_profile": "library-learning",
    "seo": {
        "title": "Writing Content AI Can Read and People Can Use ... Krisada SEO",
        "description": "A clear answer gives readers something useful to do. Follow a Krisada SEO article from its opening through its JSON record and published structured data."
    },
    "related_content": [
        "structured-data-audit",
        "what-a-clean-content-schema-looks-like"
    ],
    "is_featured": false,
    "is_cornerstone": true,
    "reading_time": 5,
    "include_in_sitemap": true,
    "authors": [
        "atlas"
    ]
}